{"id":2421,"date":"2021-06-07T14:00:28","date_gmt":"2021-06-07T11:00:28","guid":{"rendered":"https:\/\/www.frendt.ua\/agriculture\/satellite-monitoring\/"},"modified":"2021-06-07T15:52:36","modified_gmt":"2021-06-07T12:52:36","slug":"satellite-monitoring","status":"publish","type":"agriculture","link":"https:\/\/frendt.ua\/en\/agriculture\/satellite-monitoring\/","title":{"rendered":"Satellite monitoring"},"content":{"rendered":"<article class=\"article\"><span style=\"font-size: 14pt;\">This type of monitoring is all about the <em>analysis of the crops&#8217; condition using the data from the satellite images<\/em>. Flying over a certain area and taking high-resolution images, the satellite captures the field sections we are interested in. <\/span><span style=\"font-size: 14pt;\">Surveying is performed in several spectral ranges. Spectral indices are used for processing and interpretation of images, considering various factors &#8211; cloudiness, shadows, terrain, different angles of incidence of sunlight, the difference in the angle of shooting, the impact of the environment. <\/span><span style=\"font-size: 14pt;\">The obtained images are a source of <em>information<\/em> about crops. Special spectral cameras allow the calculation of vegetation indices (NDVI, NDRI, RVI, etc.). <\/span><span style=\"font-size: 14pt;\">Spectral reflectivity is individual for each crop and differs by the waves of different lengths. Knowing the reflectivity of the plant, you can identify it and assess its condition via spectral images. <\/span><strong><span style=\"font-size: 14pt;\">The results of satellite monitoring are:<\/span><\/strong><\/p>\n<ul>\n<li><span style=\"font-size: 14pt;\">Quick identification of problematic sections from the entire area of the field;<\/span><\/li>\n<li><span style=\"font-size: 14pt;\">Assessment of crop condition;<\/span><\/li>\n<li><span style=\"font-size: 14pt;\">Identification of crop varieties;<\/span><\/li>\n<li><span style=\"font-size: 14pt;\">Determination of the dynamics of biomass growth;<\/span><\/li>\n<li><span style=\"font-size: 14pt;\">Timely detection of deviations.<\/span><\/li>\n<\/ul>\n<p class=\"_04xlpA direction-ltr align-start para-style-body\"><span class=\"JsGRdQ\" style=\"font-size: 14pt;\">Processing of multispectral images allows discovering <em>nitrogen deficiency<\/em> and the <em>need to apply fertilizers and plant protection products<\/em> on specific parts of the field. It will also help to find out the degree of ripening of the crop and predict yields.<\/span><\/p>\n<\/article>\n","protected":false},"featured_media":2133,"template":"","agriculture_cat":[68],"class_list":["post-2421","agriculture","type-agriculture","status-publish","has-post-thumbnail","hentry","agriculture_cat-agriculture"],"acf":[],"_links":{"self":[{"href":"https:\/\/frendt.ua\/en\/wp-json\/wp\/v2\/agriculture\/2421","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/frendt.ua\/en\/wp-json\/wp\/v2\/agriculture"}],"about":[{"href":"https:\/\/frendt.ua\/en\/wp-json\/wp\/v2\/types\/agriculture"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/frendt.ua\/en\/wp-json\/wp\/v2\/media\/2133"}],"wp:attachment":[{"href":"https:\/\/frendt.ua\/en\/wp-json\/wp\/v2\/media?parent=2421"}],"wp:term":[{"taxonomy":"agriculture_cat","embeddable":true,"href":"https:\/\/frendt.ua\/en\/wp-json\/wp\/v2\/agriculture_cat?post=2421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}